Integrated Use of ARIMA with ANN and SVR to Forecast the Concentration of PM2.5 - A Case Study of Six Municipalities in Taiwan

碩士 === 輔仁大學 === 統計資訊學系應用統計碩士在職專班 === 105 === Recently, the air pollution has been worsening. The PM2.5 is the particulate matter (PM) that has a diameter less than 2.5 micrometers. Because high level of PM2.5 can cause immediate health problems, the prediction of PM2.5 is important. This study uses...

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Bibliographic Details
Main Authors: LU, CHUN-YUAN, 盧俊源
Other Authors: Dr. Yuehjen E. Shao
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/yhn46y